Learning stable representations of devices for clustering-based device classification systems
US11451456B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 19, 2019 |
| Grant date | Sep 20, 2022 |
| Priority date | — |
| Expiry date | Jan 21, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/0894
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a device classification service obtains telemetry data for a plurality of devices in a network. The device classification service repeatedly assigns the devices to device clusters by applying clustering to the obtained telemetry data. The device classification service determines a measure of stability loss associated with the cluster assignments. The measure of stability loss is based in part on whether a device is repeatedly assigned to the same device cluster. The device classification service determines, based on the measure of stability loss, that the cluster assignments have stabilized. The device classification service obtains device type labels for the device clusters, after determining that the cluster assignments have stabilized.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.